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 # PEARL-Benchmark: A benchmark for evaluating phrase representations
+[Learning High-Quality and General-Purpose Phrase Representations](https://arxiv.org/pdf/2401.10407.pdf). <br>
+[Lihu Chen](https://chenlihu.com), [Gaël Varoquaux](https://gael-varoquaux.info/), [Fabian M. Suchanek](https://suchanek.name/). 
+Accepted by EACL Findings 2024 <br>
+
 Our PEARL Benchmark contains 9 phrase-level datasets of five types of tasks, which cover both the field of data science and natural language processing.
 
 ## Description